Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems.

Zhaolin Gao|Tianshu Shen|Zheda Mai|Mohamed Reda Bouadjenek|Isaac Waller|Ashton Anderson|Ron Bodkin|Scott Sanner


Anthology ID:DBLP:conf/sigir/GaoSMBWABS22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2524-2531
URL:https://doi.org/10.1145/3477495.3531890
DOI:https://doi.org/10.1145/3477495.3531890
DBLP:conf/sigir/GaoSMBWABS22
BibTeX:
@inproceedings{gao-2022-mitigating, author = {Zhaolin Gao and Tianshu Shen and Zheda Mai and Mohamed Reda Bouadjenek and Isaac Waller and Ashton Anderson and Ron Bodkin and Scott Sanner}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2524--2531}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531890}, doi = {https://doi.org/10.1145/3477495.3531890} }